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. Author manuscript; available in PMC: 2010 Jun 20.
Published in final edited form as: J Neural Eng. 2008 Sep 30;5(4):392–401. doi: 10.1088/1741-2560/5/4/004

Table D.1.

Monte Carlo estimates of chance prediction metrics. P-value is the probability of chance explaining the Sn=80% of a matched reference algorithm. The expected values according to the Poisson formulas are E[Snc] = 0.27241, E[ρw] = 0.275, E[rw] = 0.155/hr, and p = 0.02153.

Seizures vs. Chance Predictor Distributions Quantity of Interest Monte Carlo Simulation
Uniform, Poisson
E[Snc] 0.27053
E[ρw] 0.275
E[rw] 0.156/hr
p-value
0.02008
Gamma, Poisson
E[Snc] 0.27390
E[ρw] 0.275
E[rw] 0.155/hr
p-value
0.02480
Gamma, Gamma E[Snc] 0.27558
E[ρw] 0.275
E[rw] 0.131/hr
p-value 0.03100